Clustering and classification of document structure-a machine learning approach

Author

Dengel, Andreas ; Dubiel, Frank

Author_Institution

German Res. Center for Artificial Intelligence, Kaiserslautern, Germany

Volume

2

fYear

1995

fDate

14-16 Aug 1995

Firstpage

587

Abstract

We describe a system which is capable of learning the presentation of document logical structures, exemplarily shown for business letters. Presenting a set of instances to the system, it clusters them into structural concepts and induces a concept hierarchy. This concept hierarchy is taken as a source for classifying future input. The paper introduces the different learning steps, describes how the resulting concept hierarchy is applied for logical labeling and reports on the results

Keywords

business data processing; classification; document handling; knowledge based systems; learning by example; technical presentation; business letters; concept hierarchy; document logical structure presentation; document structure classification; document structure clustering; learning by example; logical labeling; machine learning approach; Artificial intelligence; Classification tree analysis; Costs; Decision trees; Fuzzy logic; Information retrieval; Labeling; Logic testing; Machine learning; Text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

0-8186-7128-9

Type

conf

DOI

10.1109/ICDAR.1995.601965

Filename

601965